Learning First-Order Horn Clauses from Web Text

@inproceedings{Schoenmackers2010LearningFH,
  title={Learning First-Order Horn Clauses from Web Text},
  author={Stefan Schoenmackers and Jesse Davis and Oren Etzioni and Daniel S. Weld},
  booktitle={EMNLP},
  year={2010}
}
Even the entire Web corpus does not explicitly answer all questions, yet inference can uncover many implicit answers. But where do inference rules come from? This paper investigates the problem of learning inference rules from Web text in an unsupervised, domain-independent manner. The Sherlock system, described herein, is a first-order learner that acquires over 30,000 Horn clauses from Web text. Sherlock embodies several innovations, including a novel rule scoring function based on… CONTINUE READING

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